Staff Engineer

OrbitronAI is on a mission to turn large language model magic into production-grade agentic systems and workflows that solve real problems for the world’s largest enterprises.We are scaling fast across Dubai, Bengaluru, and Saudi Arabia.👥 The Team Behind OrbitronAIFounded by an exceptional leadership team of:Former EY PartnersEx-CTOs and Heads of Engineering from successful Series B+ startupsThe founding team brings together seasoned business, product and engineering leaders who have built and scaled organizations and led enterprise projects valued at over $1 billion.🌟 Why Join OrbitronAI?Massive Impact, Real Ownership → Ship end-to-end features, own outcomes, and see your work power mission-critical systems.Battle-Tested Leadership → Learn and grow with seasoned leaders who bring deep industry expertise and zero ego.Cutting Edge Stack → Work with GenAI frontier models, Java, Python, Go, TypeScript, GCP & edge compute, Vector DBs, DAG engines.🧬 Our Cultural DNAHustle → Move with urgency, bias for action, celebrate shipping.Ownership & Commitment → Act like a founder — your decisions shape the company.Founder’s Mindset → Challenge ideas, not people. Seek truth, not consensus.Continuous Learning → No legacy thinking; we invest in upskilling and sponsor courses & conferences.Pride in Craft → Pixel-perfect UIs, rock-solid infra, clean code. If it has your name on it, make it remarkable.Why This RoleWe’re building the next generation of agentic platforms and solutions — AI systems that plan, reason, and act in enterprise environments. While the AI engineers are building the brains, you’ll architect the nervous system: the APIs, infrastructure, and backend intelligence that make it all production-grade.As our Staff Backend Engineer, you’ll be working shoulder to shoulder with AI engineers, product designers, and founders to ship systems that are modular, scalable, and battle-tested — all while pushing the boundaries of what’s possible with autonomous agents.Bonus: You’ll work in an environment where using AI tools to boost your own efficiency is expected, not optional.Location: BangaloreMode Of Work: OnsiteWhat You’ll DoDesign, build, and scale backend systems that power our AI orchestration engine — including API layers, state management, async job queues, task planners, and more.Collaborate with AI engineers to integrate LLM-based agents, RAG pipelines, vector stores, and multi-agent orchestration tools into a robust backend architecture.Build platform capabilities such as:Agent identity management and secure credentialsAgent task routing and lifecycle management (e.g. using Temporal)Modular plugin and tool-execution infrastructureOwn the API and service architecture used by front-end apps, third-party APIs, and clients.Optimize for performance, observability, and reliability — your work will run thousands of real-world agent workflows every day.Champion clean code, test automation, CI/CD, and documentation across the team.Contribute to platform-level decisions: event streaming, agent memory persistence, auth layers, deployment pipelines, cloud infra, etc.Mentor junior and mid-level engineers, and raise the bar across engineering quality and speed.What You Bring 6+ years of experience as a backend engineer with a proven track record of designing scalable systems in fast-paced environments.Expert in Python, Java, Node.js, or Go — and confident working with microservices, serverless functions, etc.Experience building distributed systems with tools like PostgreSQL, Redis, Kafka, REST APIs, etc.Hands-on experience with workflow orchestration engines like Temporal, or equivalent — and building resilient async pipelines.Strong understanding of cloud-native architectures (GCP, AWS, or Azure), containers (Docker), and infra-as-code (Terraform).A builder’s mindset — you thrive in 0-to-1 environments and care about impact.Excellent communication and collaboration skills. You’re comfortable working cross-functionally with AI teams, design, and product leadership.Perks & BenefitsTop‑Tier Compensation & stock options with substantial potential upside.Latest MacBook Pros + 4K monitorsPaid AI tool & cloud credits to experiment freelyPremium health, wellness, and learning budgetsA culture celebrating every victory.Continuous learning and skill development opportunities.Flexible PTO and work hours.